Exploring the innovation path of daily management mode of college students in the new era based on big data technology

Online veröffentlicht: 30. Okt. 2023

Eingereicht: 10. Dez. 2022

Akzeptiert: 10. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00865

Schlüsselwörter

Big data technology, Cluster partitioning, Association analysis, Newton interpolation, Daily student management

© 2023 Lin Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.